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What is IoT and Should Your Company Be on Board?

From the practical business perspective, IoT - or the Internet of Things - is a set of modern technology that enables companies to connect and manage their devices remotely via the Internet. This technology also empowers consumers with new convenient features for a broad array of products, such as remote control of consumer tech via a smartphone or data collection from various sensors in real time. Some key parts of the IoT technology stack are cloud infrastructure, connectivity protocols, IoT platforms for device and data management, and actual hardware that can be connected to the Internet.

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Antmicro

We're an embedded software company which puts people before technology. And we're very fond of our technology. Antmicro is a small, privately owned company, and we see that strong relations to our collaborators and customers as well as a great team with know-how in modern embedded systems as our biggest assets. Although our main focus is providing embedded software expertise, we are not only service providers, but also enablers of new technologies and skilled intregrators. We have often brought together seemingly incompatible solutions to form a uniform whole and used consumer electronic notions, such as the drive for compelling user interfaces - for industry.

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IoT Security

AIoT: The Technology and Its Limitless Possibilities

Article | July 5, 2023

We live in the age of technological advancement and progress is happening at an unprecedented speed. With newer technologies emerging every day, it is unreasonable to not be intrigued by their implications on business. Artificial Intelligence and the Internet of Things are two independent technologies that are changing the face of several industries, one advancement at a time. While Artificial Intelligence promises to automate and simplify everyday tasks for humans, the Internet of Things is rapidly bridging the gap between physical and digital. The convergence of these two technologies promises to simplify lives through connected devices. This convergence has already been witnessed in several industries and is being hailed as the Artificial Intelligence of Things or AIoT. Experts across industries claim that Artificial Intelligence of Things is set to redefine the future of the industry and mold intelligent and connected systems. Applications The Artificial Intelligence of Things is a congruence of AI and IoT infrastructures being used to achieve several applications across industries more accurately and efficiently. We already know that IoT generates scores of data, but this data is pretty useless in its raw form, it the organization, analysis, and interpretation of the data that makes it invaluable. Manually parsing through all of that data can take months given the sheer volume of it. This is where AI comes in. Modern AIs are programmed to efficiently handle large amounts of data to turn them into coherent pieces of information. Together, IoT and AI make for a great technological tool for business. Take a look at some other applications of AIoT in business. Marketing Good marketing comes from a series of well informed and well-researched decisions. For example, deciding on where the budget is allotted, what market strategy is put into action, or which campaign is prioritized. While human decisions can be fallible, most businesses today cannot afford to make big mistakes. This is where AIoT turns into a big help. Through the Artificial Internet of Things, marketers can get reports about market trends, probabilities, customer behavior, and more, most of these in real-time. These reports help marketers make informed decisions that are much likely to result in success. Drones Drones are one of the biggest advancements of IoT technology. In fact, drones are so popular with such varied applications, that drones can be talked of as a separate technology in themselves. These flying machines were originally invented for military purposes such as surveillance or weapon deployment but markets have rapidly found utility in drones for many other purposes. Today, they are being used as delivery bots, nature conservation, surveillance mechanisms, research tools, safety equipment, field substitutes, agriculture, geo-mapping, and a lot more. With AIoT, drones have become smarter, more adaptable, and way more useful. As Artificial intelligence allows drones to make minor decisions, their applications have gotten wider and more sophisticated. In a brilliant use case of AIoT, a drone enthusiast named Peter Kohler has started the Plastic Tide Project which uses drones to locate plastic on the ocean surfaces. The drones are powered by AI which allows them to locate plastic and not other elements like marine life or corals. These drones then hover over the plastic waste and speed up the ocean cleaning process. Drones can be used to map farmlands, determine the optimum farming processes and schedules, count the cattle, monitor their health, and even undergo certain physical tasks in agriculture, all thanks to the Artificial Intelligence of Things. AR/VR Augmented Reality and Virtual Reality are both heavily data-dependent technologies. There cannot be a convincing virtual reality unless there is data available for creating the said simulation. AR and VR have both found applications in several industries like healthcare, gaming, training, education, design, and manufacturing. Most of these applications fall in the critically important category and therefore, the AR or VR must be accurate to the minutest detail. This can only be achieved with mounds of data from the actual reality. With the help of IoT, this data is not accessible, and AI interprets it in a way that it can be turned into several different formats. Infrastructure One of the most useful applications of AIoT has been infrastructure. Artificial Intelligence of Things has fuelled innovation and planning for smart cities across the world. With the open data available for urban planning, cities are now becoming safer and more convenient to live in. AIoT has also made it possible to optimize energy consumption and ensure safer roadways through traffic surveillance. With smart energy grids, smart streetlights, and smart public transport, energy consumption and carbon emissions are both controlled. Moreover, AIoT has given a whole new life to urban design, and now comfort and aesthetics do not have to be sacrificed for convenience. Energy As we discussed above, Artificial Intelligence of Things is instrumental in optimizing energy consumption in urban areas. However, the applications of AIoT in the energy sector are not limited to smart cities. Many utilities providers across the globe are already gearing up to incorporate AIoT in their process. The expected benefits from the Artificial Intelligence of Things range from improved grid management, power quality, reliability, and restoration resilience to enhanced cybersecurity and better integration of distributed energy. Most utilities providers have still not adopted the new technology but with the increasing complexity of grid management and higher customer experience demands, there is no denying that they will have to deploy AIoT solutions to tackle these. Robotics In layman’s experience robots are either extremely sophisticated machines from sci-fi that undertake every task humans can and more, or they are these clunky things that can pass you the butter. In practice, however, robotics is a lot more practical than these ideas. Today, robotics is at the forefront of AIoT applications. The Artificial Intelligence of Things is being used in robotics for several applications such as surgical procedures, manufacturing, and even first aid. In healthcare specifically, AIoT powered robots are taking huge leaps. Robotic surgery eliminates the chance of human error and offers a much more precise surgical experience with minimum invasion. This enhances the success rate of surgery and aids faster recovery in patients. Logistics The convergence of AI and IoT has made a huge impact on logistics as it is now possible to automate the entire process, track the goods, as well as monitor the entire trajectory from deployment to delivery. With the addition of drones and robotics, even the last mile delivery can be automated with zero human intervention. This makes for faster delivery, better customer experience, as well as a well-designed supply chain management system. Industrial As the concept of adding smart sensors to physical objects emerged in the 1980s, a new term was coined a decade later—Industrial Internet of Things. IIoT is now a huge phenomenon of automating and optimizing industrial operation technologies across the globe. As IIoT is deployed in several factions of the industry including manufacturing, supply chain management, human resources, and energy management, these devices and sensors generate a massive amount of data daily. The data generated from even a single process can be dizzying, and this is where AI makes a difference. AI can not only manage this data but also find the relevant points of data and analyze it for business purposes. Edge Computing Artificial Intelligence has given way for another technology i.e. Edge computing. Edge computing allows a device to process data itself rather than rely on remote data servers to do so. It may seem like a small feat but think of the possibilities it offers—drones don’t have to be connected to find their way, smart appliances can interact with each other without a shared network, and thermostats can change the temperature based on your past preferences automatically. Edge computing is by no way a new technology but, in the future, it offers huge possibilities like smart automobiles and aircraft, or even robots in every home. Frequently Asked Questions What are the examples of Artificial Intelligence? Some of the most common examples of Artificial Intelligence are Google Maps and Uber. The AI allows you to find routes to any destination and even hail rides there. How does AI help IoT? Artificial Intelligence can comb through millions of data points in seconds to come up with patterns and analyze them. As IoT generates a lot of data continuously, AI is a powerful and complementary technology that helps IoT. Is IoT related to Artificial Intelligence? Internet of Things and Artificial Intelligence are two separate technologies that interact with each other well as their functions aid each other progress. AI helps with the data generated by IoT, and IoT provides relevant data for AI to analyze. { "@context": "https://schema.org", "@type": "FAQPage", "mainEntity": [{ "@type": "Question", "name": "What are the examples of Artificial Intelligence?", "acceptedAnswer": { "@type": "Answer", "text": "Some of the most common examples of Artificial Intelligence are GoogleMaps and Uber. The AI allows you to find routes to any destination and even hail rides there." } },{ "@type": "Question", "name": "How does AI help IoT?", "acceptedAnswer": { "@type": "Answer", "text": "Artificial Intelligence can comb through millions of data points in seconds to come up with patterns and analyze them. As IoT generates a lot of data continuously, AI is a powerful and complementary technology that helps IoT." } },{ "@type": "Question", "name": "Is IoT related to Artificial Intelligence?", "acceptedAnswer": { "@type": "Answer", "text": "Internet of Things and Artificial Intelligence are two separate technologies that interact with each other well as their functions aid each other progress.AI helps with the data generated by IoT, and IoT provides relevant data for AI to analyze." } }] }

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Enterprise Iot

Four ways to ensure IoT success

Article | May 11, 2023

Three out of four IoT projects are considered a failure, according to Cisco. This is troubling but even more so when Cisco also found 61 per cent of companies say they believe they’ve barely begun to scratch the surface of IoT can do for their business? Businesses believe in the long-term value offered by integrating IoT into their business plan, however, they lack the knowledge of what is required to ensure the success of such a complex project. By studying past failed projects, technology leaders can gain a better understanding of why they failed and what they can do differently when evaluating and undertaking new IoT initiatives.

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Enterprise Iot

Understanding IoT Data Protocols: Why Do They Matter for IoT Data?

Article | July 20, 2023

Learn more about IoT data protocols and what makes them essential for a cohesive IoT ecosystem. This article will provide a detailed view of data protocols and their importance for modern businesses. 1 Significance of IoT Data Protocols for Business Operations IoT ecosystems form an integral part of many businesses today, and IoT data protocols serve as the foundation for seamless communication and data exchange between connected devices. IoT protocols ensure the integrity and reliability of data, empowering businesses to make informed decisions, optimize operations, enhance productivity, and drive innovation. With standardized and secure IoT protocols and standards, companies can achieve efficient data transmission and allow for scalability across diverse IoT ecosystems. Understanding and leveraging the right protocols is essential for businesses to benefit from the full potential of their IoT investments and gain a competitive edge in today's interconnected world. 2 Understanding IoT Data Protocols IoT data protocols are standardized rules and formats that ensure efficient and secure data transmission for efficient IoT communication. By adhering to established protocols such as MQTT, CoAP, and AMQP, businesses can maintain interoperability, scalability, and robust data transmission of IoT data, ensuring efficient data storage and management for their IoT ecosystem. This, in turn, empowers organizations to monitor and control critical processes in real-time and make informed decisions. 2.1 Role of IoT Data Protocols in the IoT Ecosystem The seamless functioning of an organization's IoT ecosystem relies on the pivotal role played by IoT data protocols. These protocols, serving as the communication backbone, enable secure transfer and efficient data processing, thereby facilitating the seamless exchange of information within the IoT network. Consequently, businesses operating within the IoT sphere can harness the power of reliable data communication enabled by these protocols to unlock insights that drive innovation. IoT data protocols serve as the vital link that fuels the interconnected landscape of IoT devices, elevating the efficiency and efficacy of businesses as they navigate the complex web of IoT technologies and leverage its immense potential. 2.2 Overview of Common IoT Data Protocols The IoT data protocols come with their own set of applications and challenges. Understanding each protocol's individual use cases will help businesses set up and scale their IoT device ecosystems. MQTT (Message Queuing Telemetry Transport): MQTT is a lightweight and efficient protocol designed for low-power devices and unreliable networks. It uses a publish-subscribe model, making it ideal for IoT applications where bandwidth and power consumption are crucial factors, such as remote monitoring and control systems. CoAP (Constrained Application Protocol): For resource-constrained IoT devices, CoAP is designed to enable smooth communication over the Internet. It uses a client-server model and is suitable for IoT applications where devices have limited processing power and memory, such as smart home automation, environmental monitoring, and healthcare systems. HTTP (Hypertext Transfer Protocol): Although primarily designed for web applications, HTTP is also used in IoT systems for data transmission. The ubiquity and familiarity of HTTP make it a widely supported communication protocol. As a result, it is suitable for IoT devices that require high-level interoperability in applications that involve cloud integration, data analytics, and web-based control interfaces. AMQP (Advanced Message Queuing Protocol): AMQP is a flexible messaging protocol ensuring reliable, secure, and interoperable communication between IoT devices and back-end systems. It supports both publish-subscribe and point-to-point messaging models, making it suitable for IoT scenarios involving complex routing, large-scale deployments, and enterprise integrations. Zigbee: Zigbee is a wireless protocol designed specifically for low-power, short-range communication in IoT networks. It operates on the IEEE 802.15.4 standard and is known for its energy efficiency and mesh networking capabilities, leading to its widespread adoption in home automation, intelligent lighting, and industrial control systems. 3 Considerations for Choosing the Right IoT Data Protocol Selecting a suitable IoT data protocol is essential to maintain smooth interoperability and a unified IoT ecosystem. Compatibility with existing infrastructure is crucial for seamless integration and cost-effective implementation. Security measures must also be robust to protect sensitive data from unauthorized access and potential breaches. Additionally, scalable and flexible data protocols in IoT are vital to accommodate future growth and evolving business requirements. Furthermore, the protocol's reliability and efficiency in transmitting data should align with the use case of IoT systems. Finally, considering the protocol's industry adoption and standardization level will also help minimize risks and enhance interoperability. 4 In Summary IoT data protocols play a significant role in facilitating efficient and secure business operations within the IoT ecosystem. By learning more about the use cases of the most common protocols in the industry, businesses can consider factors such as compatibility, security, scalability, and reliability while choosing the most suitable option for their business. As IoT systems grow, more complex and reliable data protocols will emerge, paving the way for enhanced connectivity, interoperability, and transformative opportunities across various industries.

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Enterprise Iot

The IoT and Edge Computing Partnership

Article | July 13, 2022

Edge computing enables the IoT to move intelligence out to the edge. If organizations have a lot of data and need to use it, they should do so in end-to-end paths, environments with lots of sensors, or environments where a lot of data is generated at the edge, thanks to the Internet of Things (IoT) and edge data sensing. Additionally, traditional methodologies fall short of the necessary standards when dealing with real-time information and the growing amount of unstructured data, which includes a sensor and IoT data. For management, power concerns, analytics, real-time needs, and other IoT situations, speed and high-speed data are essential elements. This enables edge computing to handle data. The Internet of Things (IoT) benefits from having compute capacity close to the location of a physical device or data source. IoT device data needs to be processed at the edge rather than traveling back to a central site before that analysis can be done in order to react quickly or prevent concerns. For the data processing and storage requirements of IoT devices, edge computing serves as a local source. Benefits of Using IoT and Edge Together The connection between IoT devices and the main IT networks has less latency. Greater operational efficiency and quicker response times. Network bandwidth improvement. When a network connection is lost, the system continues to run offline. Utilizing analytics algorithms and machine learning, local data processing, aggregation, and quick decision-making are possible. Industrial IoT, often known as IIoT, is the application of IoT in an industrial setting, such as factory machinery. Consider the lifespan of the large, factory-used machinery. Equipment may be stressed differently over time depending on the user, and malfunctions are a regular aspect of operations. The parts of the machinery that are most prone to damage or misuse can be equipped with IoT sensors. Predictive maintenance can be performed using the data from these sensors, cutting down on overall downtime. Because IoT devices can be used as Edge Computing, the line between IoT and Edge Computing can occasionally be razor-thin. However, the most significant difference is the ability not only to compute data locally (in real-time) but also to sync that data to a centralized server at a time when it is safe—and feasible—to send. IoT and edge computing are both here to stay since they fulfill crucial societal and commercial needs.

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IoT Security

Overcoming IoT Security Challenges for Safe Implementation

Article | July 5, 2023

We live in the age of technological advancement and progress is happening at an unprecedented speed. With newer technologies emerging every day, it is unreasonable to not be intrigued by their implications on business. Artificial Intelligence and the Internet of Things are two independent technologies that are changing the face of several industries, one advancement at a time. While Artificial Intelligence promises to automate and simplify everyday tasks for humans, the Internet of Things is rapidly bridging the gap between physical and digital. The convergence of these two technologies promises to simplify lives through connected devices. This convergence has already been witnessed in several industries and is being hailed as the Artificial Intelligence of Things or AIoT. Experts across industries claim that Artificial Intelligence of Things is set to redefine the future of the industry and mold intelligent and connected systems. Applications The Artificial Intelligence of Things is a congruence of AI and IoT infrastructures being used to achieve several applications across industries more accurately and efficiently. We already know that IoT generates scores of data, but this data is pretty useless in its raw form, it the organization, analysis, and interpretation of the data that makes it invaluable. Manually parsing through all of that data can take months given the sheer volume of it. This is where AI comes in. Modern AIs are programmed to efficiently handle large amounts of data to turn them into coherent pieces of information. Together, IoT and AI make for a great technological tool for business. Take a look at some other applications of AIoT in business. Marketing Good marketing comes from a series of well informed and well-researched decisions. For example, deciding on where the budget is allotted, what market strategy is put into action, or which campaign is prioritized. While human decisions can be fallible, most businesses today cannot afford to make big mistakes. This is where AIoT turns into a big help. Through the Artificial Internet of Things, marketers can get reports about market trends, probabilities, customer behavior, and more, most of these in real-time. These reports help marketers make informed decisions that are much likely to result in success. Drones Drones are one of the biggest advancements of IoT technology. In fact, drones are so popular with such varied applications, that drones can be talked of as a separate technology in themselves. These flying machines were originally invented for military purposes such as surveillance or weapon deployment but markets have rapidly found utility in drones for many other purposes. Today, they are being used as delivery bots, nature conservation, surveillance mechanisms, research tools, safety equipment, field substitutes, agriculture, geo-mapping, and a lot more. With AIoT, drones have become smarter, more adaptable, and way more useful. As Artificial intelligence allows drones to make minor decisions, their applications have gotten wider and more sophisticated. In a brilliant use case of AIoT, a drone enthusiast named Peter Kohler has started the Plastic Tide Project which uses drones to locate plastic on the ocean surfaces. The drones are powered by AI which allows them to locate plastic and not other elements like marine life or corals. These drones then hover over the plastic waste and speed up the ocean cleaning process. Drones can be used to map farmlands, determine the optimum farming processes and schedules, count the cattle, monitor their health, and even undergo certain physical tasks in agriculture, all thanks to the Artificial Intelligence of Things. AR/VR Augmented Reality and Virtual Reality are both heavily data-dependent technologies. There cannot be a convincing virtual reality unless there is data available for creating the said simulation. AR and VR have both found applications in several industries like healthcare, gaming, training, education, design, and manufacturing. Most of these applications fall in the critically important category and therefore, the AR or VR must be accurate to the minutest detail. This can only be achieved with mounds of data from the actual reality. With the help of IoT, this data is not accessible, and AI interprets it in a way that it can be turned into several different formats. Infrastructure One of the most useful applications of AIoT has been infrastructure. Artificial Intelligence of Things has fuelled innovation and planning for smart cities across the world. With the open data available for urban planning, cities are now becoming safer and more convenient to live in. AIoT has also made it possible to optimize energy consumption and ensure safer roadways through traffic surveillance. With smart energy grids, smart streetlights, and smart public transport, energy consumption and carbon emissions are both controlled. Moreover, AIoT has given a whole new life to urban design, and now comfort and aesthetics do not have to be sacrificed for convenience. Energy As we discussed above, Artificial Intelligence of Things is instrumental in optimizing energy consumption in urban areas. However, the applications of AIoT in the energy sector are not limited to smart cities. Many utilities providers across the globe are already gearing up to incorporate AIoT in their process. The expected benefits from the Artificial Intelligence of Things range from improved grid management, power quality, reliability, and restoration resilience to enhanced cybersecurity and better integration of distributed energy. Most utilities providers have still not adopted the new technology but with the increasing complexity of grid management and higher customer experience demands, there is no denying that they will have to deploy AIoT solutions to tackle these. Robotics In layman’s experience robots are either extremely sophisticated machines from sci-fi that undertake every task humans can and more, or they are these clunky things that can pass you the butter. In practice, however, robotics is a lot more practical than these ideas. Today, robotics is at the forefront of AIoT applications. The Artificial Intelligence of Things is being used in robotics for several applications such as surgical procedures, manufacturing, and even first aid. In healthcare specifically, AIoT powered robots are taking huge leaps. Robotic surgery eliminates the chance of human error and offers a much more precise surgical experience with minimum invasion. This enhances the success rate of surgery and aids faster recovery in patients. Logistics The convergence of AI and IoT has made a huge impact on logistics as it is now possible to automate the entire process, track the goods, as well as monitor the entire trajectory from deployment to delivery. With the addition of drones and robotics, even the last mile delivery can be automated with zero human intervention. This makes for faster delivery, better customer experience, as well as a well-designed supply chain management system. Industrial As the concept of adding smart sensors to physical objects emerged in the 1980s, a new term was coined a decade later—Industrial Internet of Things. IIoT is now a huge phenomenon of automating and optimizing industrial operation technologies across the globe. As IIoT is deployed in several factions of the industry including manufacturing, supply chain management, human resources, and energy management, these devices and sensors generate a massive amount of data daily. The data generated from even a single process can be dizzying, and this is where AI makes a difference. AI can not only manage this data but also find the relevant points of data and analyze it for business purposes. Edge Computing Artificial Intelligence has given way for another technology i.e. Edge computing. Edge computing allows a device to process data itself rather than rely on remote data servers to do so. It may seem like a small feat but think of the possibilities it offers—drones don’t have to be connected to find their way, smart appliances can interact with each other without a shared network, and thermostats can change the temperature based on your past preferences automatically. Edge computing is by no way a new technology but, in the future, it offers huge possibilities like smart automobiles and aircraft, or even robots in every home. Frequently Asked Questions What are the examples of Artificial Intelligence? Some of the most common examples of Artificial Intelligence are Google Maps and Uber. The AI allows you to find routes to any destination and even hail rides there. How does AI help IoT? Artificial Intelligence can comb through millions of data points in seconds to come up with patterns and analyze them. As IoT generates a lot of data continuously, AI is a powerful and complementary technology that helps IoT. Is IoT related to Artificial Intelligence? Internet of Things and Artificial Intelligence are two separate technologies that interact with each other well as their functions aid each other progress. AI helps with the data generated by IoT, and IoT provides relevant data for AI to analyze. { "@context": "https://schema.org", "@type": "FAQPage", "mainEntity": [{ "@type": "Question", "name": "What are the examples of Artificial Intelligence?", "acceptedAnswer": { "@type": "Answer", "text": "Some of the most common examples of Artificial Intelligence are GoogleMaps and Uber. The AI allows you to find routes to any destination and even hail rides there." } },{ "@type": "Question", "name": "How does AI help IoT?", "acceptedAnswer": { "@type": "Answer", "text": "Artificial Intelligence can comb through millions of data points in seconds to come up with patterns and analyze them. As IoT generates a lot of data continuously, AI is a powerful and complementary technology that helps IoT." } },{ "@type": "Question", "name": "Is IoT related to Artificial Intelligence?", "acceptedAnswer": { "@type": "Answer", "text": "Internet of Things and Artificial Intelligence are two separate technologies that interact with each other well as their functions aid each other progress.AI helps with the data generated by IoT, and IoT provides relevant data for AI to analyze." } }] }

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Enterprise Iot

Understanding IoT Data Protocols: Why Do They Matter for IoT Data?

Article | May 11, 2023

Three out of four IoT projects are considered a failure, according to Cisco. This is troubling but even more so when Cisco also found 61 per cent of companies say they believe they’ve barely begun to scratch the surface of IoT can do for their business? Businesses believe in the long-term value offered by integrating IoT into their business plan, however, they lack the knowledge of what is required to ensure the success of such a complex project. By studying past failed projects, technology leaders can gain a better understanding of why they failed and what they can do differently when evaluating and undertaking new IoT initiatives.

Read More
Enterprise Iot

Securing Real-world IoT Applications through Penetration Testing

Article | July 20, 2023

Learn more about IoT data protocols and what makes them essential for a cohesive IoT ecosystem. This article will provide a detailed view of data protocols and their importance for modern businesses. 1 Significance of IoT Data Protocols for Business Operations IoT ecosystems form an integral part of many businesses today, and IoT data protocols serve as the foundation for seamless communication and data exchange between connected devices. IoT protocols ensure the integrity and reliability of data, empowering businesses to make informed decisions, optimize operations, enhance productivity, and drive innovation. With standardized and secure IoT protocols and standards, companies can achieve efficient data transmission and allow for scalability across diverse IoT ecosystems. Understanding and leveraging the right protocols is essential for businesses to benefit from the full potential of their IoT investments and gain a competitive edge in today's interconnected world. 2 Understanding IoT Data Protocols IoT data protocols are standardized rules and formats that ensure efficient and secure data transmission for efficient IoT communication. By adhering to established protocols such as MQTT, CoAP, and AMQP, businesses can maintain interoperability, scalability, and robust data transmission of IoT data, ensuring efficient data storage and management for their IoT ecosystem. This, in turn, empowers organizations to monitor and control critical processes in real-time and make informed decisions. 2.1 Role of IoT Data Protocols in the IoT Ecosystem The seamless functioning of an organization's IoT ecosystem relies on the pivotal role played by IoT data protocols. These protocols, serving as the communication backbone, enable secure transfer and efficient data processing, thereby facilitating the seamless exchange of information within the IoT network. Consequently, businesses operating within the IoT sphere can harness the power of reliable data communication enabled by these protocols to unlock insights that drive innovation. IoT data protocols serve as the vital link that fuels the interconnected landscape of IoT devices, elevating the efficiency and efficacy of businesses as they navigate the complex web of IoT technologies and leverage its immense potential. 2.2 Overview of Common IoT Data Protocols The IoT data protocols come with their own set of applications and challenges. Understanding each protocol's individual use cases will help businesses set up and scale their IoT device ecosystems. MQTT (Message Queuing Telemetry Transport): MQTT is a lightweight and efficient protocol designed for low-power devices and unreliable networks. It uses a publish-subscribe model, making it ideal for IoT applications where bandwidth and power consumption are crucial factors, such as remote monitoring and control systems. CoAP (Constrained Application Protocol): For resource-constrained IoT devices, CoAP is designed to enable smooth communication over the Internet. It uses a client-server model and is suitable for IoT applications where devices have limited processing power and memory, such as smart home automation, environmental monitoring, and healthcare systems. HTTP (Hypertext Transfer Protocol): Although primarily designed for web applications, HTTP is also used in IoT systems for data transmission. The ubiquity and familiarity of HTTP make it a widely supported communication protocol. As a result, it is suitable for IoT devices that require high-level interoperability in applications that involve cloud integration, data analytics, and web-based control interfaces. AMQP (Advanced Message Queuing Protocol): AMQP is a flexible messaging protocol ensuring reliable, secure, and interoperable communication between IoT devices and back-end systems. It supports both publish-subscribe and point-to-point messaging models, making it suitable for IoT scenarios involving complex routing, large-scale deployments, and enterprise integrations. Zigbee: Zigbee is a wireless protocol designed specifically for low-power, short-range communication in IoT networks. It operates on the IEEE 802.15.4 standard and is known for its energy efficiency and mesh networking capabilities, leading to its widespread adoption in home automation, intelligent lighting, and industrial control systems. 3 Considerations for Choosing the Right IoT Data Protocol Selecting a suitable IoT data protocol is essential to maintain smooth interoperability and a unified IoT ecosystem. Compatibility with existing infrastructure is crucial for seamless integration and cost-effective implementation. Security measures must also be robust to protect sensitive data from unauthorized access and potential breaches. Additionally, scalable and flexible data protocols in IoT are vital to accommodate future growth and evolving business requirements. Furthermore, the protocol's reliability and efficiency in transmitting data should align with the use case of IoT systems. Finally, considering the protocol's industry adoption and standardization level will also help minimize risks and enhance interoperability. 4 In Summary IoT data protocols play a significant role in facilitating efficient and secure business operations within the IoT ecosystem. By learning more about the use cases of the most common protocols in the industry, businesses can consider factors such as compatibility, security, scalability, and reliability while choosing the most suitable option for their business. As IoT systems grow, more complex and reliable data protocols will emerge, paving the way for enhanced connectivity, interoperability, and transformative opportunities across various industries.

Read More
Enterprise Iot

The IoT and Edge Computing Partnership

Article | July 13, 2022

Edge computing enables the IoT to move intelligence out to the edge. If organizations have a lot of data and need to use it, they should do so in end-to-end paths, environments with lots of sensors, or environments where a lot of data is generated at the edge, thanks to the Internet of Things (IoT) and edge data sensing. Additionally, traditional methodologies fall short of the necessary standards when dealing with real-time information and the growing amount of unstructured data, which includes a sensor and IoT data. For management, power concerns, analytics, real-time needs, and other IoT situations, speed and high-speed data are essential elements. This enables edge computing to handle data. The Internet of Things (IoT) benefits from having compute capacity close to the location of a physical device or data source. IoT device data needs to be processed at the edge rather than traveling back to a central site before that analysis can be done in order to react quickly or prevent concerns. For the data processing and storage requirements of IoT devices, edge computing serves as a local source. Benefits of Using IoT and Edge Together The connection between IoT devices and the main IT networks has less latency. Greater operational efficiency and quicker response times. Network bandwidth improvement. When a network connection is lost, the system continues to run offline. Utilizing analytics algorithms and machine learning, local data processing, aggregation, and quick decision-making are possible. Industrial IoT, often known as IIoT, is the application of IoT in an industrial setting, such as factory machinery. Consider the lifespan of the large, factory-used machinery. Equipment may be stressed differently over time depending on the user, and malfunctions are a regular aspect of operations. The parts of the machinery that are most prone to damage or misuse can be equipped with IoT sensors. Predictive maintenance can be performed using the data from these sensors, cutting down on overall downtime. Because IoT devices can be used as Edge Computing, the line between IoT and Edge Computing can occasionally be razor-thin. However, the most significant difference is the ability not only to compute data locally (in real-time) but also to sync that data to a centralized server at a time when it is safe—and feasible—to send. IoT and edge computing are both here to stay since they fulfill crucial societal and commercial needs.

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Antmicro

We're an embedded software company which puts people before technology. And we're very fond of our technology. Antmicro is a small, privately owned company, and we see that strong relations to our collaborators and customers as well as a great team with know-how in modern embedded systems as our biggest assets. Although our main focus is providing embedded software expertise, we are not only service providers, but also enablers of new technologies and skilled intregrators. We have often brought together seemingly incompatible solutions to form a uniform whole and used consumer electronic notions, such as the drive for compelling user interfaces - for industry.

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Industrial IoT

Tuya Smart Delivers IoT Best Practice Using Amazon Aurora, Leads the Direction of Cloud Database Innovation Use Cases with Amazon Web Services

Tuya Smart | January 24, 2024

Tuya Smart, the global IoT developer service provider, has delivered its Best Practices in using Amazon Aurora at IoT industry. Amazon Aurora is a relational database management system (RDBMS) built for the cloud with full MySQL and PostgreSQL compatibility. Tuya and Amazon Web Services (AWS) built a solid basis of collaboration in database use cases exploration while also delivering smooth operation of billions of devices requiring high concurrency and low latency. Tuya and AWS: Building a benchmark for database implementation practice Tuya is a leading technology company focused on making our lives smarter. Tuya does this by offering a cloud platform that connects a range of devices via the IoT. By building interconnectivity standards, Tuya bridges the intelligent needs of brands, OEMs, developers, and retail chains across a broad range of smart devices and industries. Tuya's solutions enable partners and customers by improving the value of their products while making consumers' lives more convenient through the application of technology. As of September 30, 2023, the Tuya IoT Developer Platform has accumulated over 909,000 registered developers from over 200 countries and regions, covering industries including real estate, hospitality, residential, industry, agriculture, etc. The greater the breadth of business coverage, the more advanced technological support required. Tuya faces high-frequency reads and writes as well as enormous data storage challenges from billion-level online devices. Meanwhile, due to the commercial scenarios involving smart homes and smart industries, Tuya's operating response demands low latency in order to deliver a smoother user experience. Furthermore, Tuya's quick expansion and regular business changes have posed significant challenges to its operation and maintenance management. Tuya selected Amazon Aurora as core database engine for its unparalleled performance and availability at global scale. How does Tuya specifically leverage the Amazon Aurora database? Tuya currently manages billions of real-time online devices and can keep cloud message processing response times under 10 milliseconds. However, billions online devices provide a challenge. During holidays, there will be peak traffic volume, with tens of millions of devices going online and offline virtually simultaneously. Tuya used Amazon Aurora to construct a data storage solution to solve the main problem of rapid increase in short-term traffic, and to fully utilize resources. Aurora's design, which separates compute and storage and low-latency replication functionality, improves system throughput by enhancing the effect of read-write separation. Aurora provides up to 15 read replicas, setting the groundwork for Tuya's read flexibility development. At the same time, Tuya has integrated Aurora Serverless, which includes seconds-level elastic expansion and contraction, allowing Tuya to handle extremely heavy business traffic smoothly. Tuya's customers are located throughout more than 200 nations and regions, and they deal with widespread access to IoT data. Different countries and regions have different regulations on data compliance, such as GDPR and local PII. Tuya needs to adhere to each region's data security compliance regulations. As Tuya's primary business data storage provider, Amazon Aurora was among the first in the public cloud sector to enable physical encryption for database products, which significantly decreased the cost of Tuya's security compliance transformation and gave Tuya excellent basic security guarantees. In addition, Tuya is continuously testing out additional new innovation unique to Aurora, such as Enhanced Binlog, zero-ETL, and Limitless Database. Aurora's ongoing investment in innovative technologies provides more opportunities for Tuya to expand its business. Additionally, based on Tuya's comprehensive IoT developer platform architecture, both parties have collaborated to enhance Tuya IoT applications performance indicators like stability, low latency, scalability, and security in the real-world application of databases, revealing more potential and possibilities and enabling the IoT. Tuya and AWS: Continuously promoting the evolution of cloud experience Data-driven approaches will usher in a new era of innovation in tandem with the swift advancement of data applications. At this year's re:Invent conference, Peter DeSantis, Senior Vice President of AWS, reviewed the relational database's development history in great detail. In 2014, AWS created Aurora based on log architecture. In 2018, the release of Aurora Serverless allowed for seamless scaling of database resources through virtualization technology. This year, AWS announced the launch of the Amazon Aurora Limitless Database, which automatically scales to millions of write transactions per second well beyond current limits of a single PostgreSQL instance. It is apparent from Amazon Aurora's development history that AWS has always been dedicated to innovation. Customers and partners from a range of industries actively utilizes AWS to enable rapid innovation in a variety of ways, while also working together to enhance the cloud experience. Similar to how Tuya and AWS work together, Tuya's effective and user-friendly IoT developer platform and rich and varied IoT solutions have built a significant lighthouse, embracing the Amazon Aurora's innovation and accelerated the process of building a more secure and reliable IoT database use case. Amazon Aurora VP Yan Leshinsky said, "Amazon Aurora is the fastest growing service in the history of AWS and is trusted by hundreds of thousands of customers. We innovate by working backwards from customers' needs, and we appreciate the feedback that Tuya has shared. We remain committed in developing new Aurora features and capabilities so all customers can accelerate their applications' capabilities and business growth by using Aurora." "Tuya has always committed to strengthening advanced and valuable innovations, while offering open and neutral ecosystem assistance for global partners. We provide our developers with enhanced operational and maintenance control, adaptable data storage options, superior product experience, and a global business layout by utilizing the Amazon Aurora database. We will continue to work with AWS to benefit the world in the future in areas including technology, ecosystems, and cloud computing, helping customers achieve commercial success." said Eva Na, Vice President of Marketing and Strategic Cooperation, and CMO of Tuya Smart. Enhancing the partnership with AWS, Tuya delivered IoT best practice using Amazon Aurora database, giving the industry's growth additional impetus. Tuya will maintain its open and neutral stance going forward, collaborating with cloud service providers like AWS to offer global developers a more secure, reliable, and productive cloud environment, thereby advancing the innovation and development of the entire industry.

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Enterprise Iot

Nozomi Networks Delivers Industry's First Multi-Spectrum Wireless Security Sensor for Global OT and IoT Environments

Nozomi Networks | January 25, 2024

Nozomi Networks Inc., the leader in OT and IoT security, today introduced Guardian Air™, the industry's only wireless spectrum sensor purpose-built for OT and IoT environments worldwide. With 80 percent of new IoT deployments wirelessly connected, wireless is quickly becoming a preferred network. The explosion of wirelessly connected devices increases potential access points and exploitation of networks. This puts critical infrastructure at risk of cyberattacks and disruptions to operations. Guardian Air provides much-needed visibility into wirelessly enabled devices which until now were only detected once connected to the wired network. Guardian Air monitors several prominent wireless frequencies, not just Bluetooth and Wi-Fi, to provide security teams with immediate visibility of connected sensors, devices, laptops and cell phones. With the addition of Guardian Air, customers have a comprehensive network solution all in one integrated platform. "Nozomi Networks has once again innovated to address an unmet need for wireless-level monitoring in OT and IoT environments," said Danielle VanZandt, an industry manager for commercial and public security research at Frost & Sullivan. "From smart manufacturing to digital medicine, to building automation, to modern oil field production and more, today industrial organizations are relying on billions of wireless devices to speed production and time to market. Guardian Air gives IT security professionals and OT operators the visibility they need to get a firm handle on wireless risk management and response." With Guardian Air, IT security professionals and OT operators can: Continuously monitor prominent wireless frequency technologies used in OT and IoT environments including Bluetooth, Wi-Fi, cellular, LoRaWAN, Zigbee, GPS, drone RF protocols, WirelessHART and more, Immediately detect wirelessly connected assets and gain asset information to quickly address unauthorized installations, Detect wireless-specific threats, including brute force attacks, spoofing, and bluejacking – with the added ability to determine the location of the devices performing the attacks, Seamlessly integrate wireless data into a single OT & IoT security platform that unifies asset visibility from the endpoint and across wired and wireless networks. "Wireless is fundamentally changing the way industrial organizations operate. Unfortunately, it also massively expands the potential attack surface," said Nozomi Networks Co-founder and Chief Product Officer Andrea Carcano. "Guardian Air solves this problem by giving customers the accurate visibility they need at the wireless level to minimize risk while maximizing resiliency. Because Guardian Air integrates easily into the Nozomi Networks Vantage platform, customers can combine network, endpoint and wireless for the greatest visibility, threat detection and AI-powered analysis for real-time security management and remediation across the entire attack surface." The Nozomi Guardian Air wireless sensor will be available this spring from Nozomi Networks and its extensive global network of channel partners. About Nozomi Networks Nozomi Networks accelerates digital transformation by protecting the world's critical infrastructure, industrial and government organizations from cyber threats. Our solution delivers exceptional network and asset visibility, threat detection, and insights for OT and IoT environments. Customers rely on us to minimize risk and complexity while maximizing operational resilience. www.nozominetworks.com

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IoT Security

AppViewX Digital Trust Platform Named IoT Security Product of the Year

AppViewX | January 12, 2024

AppViewX, the leader in automated machine identity management (MIM) and application infrastructure security, today announced the AppViewX Digital Trust Platform has been named IoT Security Product of the Year in the 8th annual IoT Breakthrough awards program, which showcases technologies and companies that drive innovation and exemplify the best in IoT technology solutions across the globe. IoT Breakthrough is a leading market intelligence organization that recognizes the top companies, technologies and products in the global IoT market. The mission of the IoT Breakthrough Awards program is to recognize the innovators, leaders and visionaries from around the globe in a range of IoT categories, including Industrial and Enterprise IoT, Smart City technology, Connected Home and Home Automation, Connected Car, and many more. This year's program attracted nominations from companies all over the world. “Unmanaged machine identities for IoT devices can create critical security vulnerabilities, but for most organizations discovering, maintaining visibility into and controlling them has become manually unfeasible,” said Gregory Webb, CEO of AppViewX. “The AppViewX Digital Trust Platform automates IoT identity management at scale across the largest, most complex and distributed customer environments, allowing customers to achieve significantly stronger security posture and meet compliance requirements.” All IoT Breakthrough Award nominations were evaluated by an independent panel of experts within the IoT industry, with the winning products and companies selected based on a variety of criteria, including most innovative and technologically advanced products and services. About AppViewX Digital Trust Platform Out of the box, AppViewX provides instant value to customers by discovering all certificates across complex enterprise environments, building and maintaining inventories, provisioning both private and public trust certificates from any CA, alerting to expiring certificates and fully automating renewals and revocation to eliminate outages and security weaknesses across machines, applications, services, and security infrastructure. About AppViewX AppViewX is trusted by the world’s leading organizations to reduce risk, ensure compliance, and increase visibility through automated machine identity management and application infrastructure security and orchestration. The AppViewX platform provides complete certificate lifecycle management and PKI-as-a-Service using streamlined workflows to prevent outages, reduce security incidents and enable crypto-agility. Fortune 1000 companies, including six of the top ten global commercial banks, five of the top ten global media companies, and five of the top ten managed healthcare providers rely on AppViewX to automate NetOps, SecOps, and DevOps. AppViewX is headquartered in New York with offices in the U.K., Australia and three development centers of excellence in India. For more information, visit https://www.appviewx.com and follow us on LinkedIn and Twitter.

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Industrial IoT

Tuya Smart Delivers IoT Best Practice Using Amazon Aurora, Leads the Direction of Cloud Database Innovation Use Cases with Amazon Web Services

Tuya Smart | January 24, 2024

Tuya Smart, the global IoT developer service provider, has delivered its Best Practices in using Amazon Aurora at IoT industry. Amazon Aurora is a relational database management system (RDBMS) built for the cloud with full MySQL and PostgreSQL compatibility. Tuya and Amazon Web Services (AWS) built a solid basis of collaboration in database use cases exploration while also delivering smooth operation of billions of devices requiring high concurrency and low latency. Tuya and AWS: Building a benchmark for database implementation practice Tuya is a leading technology company focused on making our lives smarter. Tuya does this by offering a cloud platform that connects a range of devices via the IoT. By building interconnectivity standards, Tuya bridges the intelligent needs of brands, OEMs, developers, and retail chains across a broad range of smart devices and industries. Tuya's solutions enable partners and customers by improving the value of their products while making consumers' lives more convenient through the application of technology. As of September 30, 2023, the Tuya IoT Developer Platform has accumulated over 909,000 registered developers from over 200 countries and regions, covering industries including real estate, hospitality, residential, industry, agriculture, etc. The greater the breadth of business coverage, the more advanced technological support required. Tuya faces high-frequency reads and writes as well as enormous data storage challenges from billion-level online devices. Meanwhile, due to the commercial scenarios involving smart homes and smart industries, Tuya's operating response demands low latency in order to deliver a smoother user experience. Furthermore, Tuya's quick expansion and regular business changes have posed significant challenges to its operation and maintenance management. Tuya selected Amazon Aurora as core database engine for its unparalleled performance and availability at global scale. How does Tuya specifically leverage the Amazon Aurora database? Tuya currently manages billions of real-time online devices and can keep cloud message processing response times under 10 milliseconds. However, billions online devices provide a challenge. During holidays, there will be peak traffic volume, with tens of millions of devices going online and offline virtually simultaneously. Tuya used Amazon Aurora to construct a data storage solution to solve the main problem of rapid increase in short-term traffic, and to fully utilize resources. Aurora's design, which separates compute and storage and low-latency replication functionality, improves system throughput by enhancing the effect of read-write separation. Aurora provides up to 15 read replicas, setting the groundwork for Tuya's read flexibility development. At the same time, Tuya has integrated Aurora Serverless, which includes seconds-level elastic expansion and contraction, allowing Tuya to handle extremely heavy business traffic smoothly. Tuya's customers are located throughout more than 200 nations and regions, and they deal with widespread access to IoT data. Different countries and regions have different regulations on data compliance, such as GDPR and local PII. Tuya needs to adhere to each region's data security compliance regulations. As Tuya's primary business data storage provider, Amazon Aurora was among the first in the public cloud sector to enable physical encryption for database products, which significantly decreased the cost of Tuya's security compliance transformation and gave Tuya excellent basic security guarantees. In addition, Tuya is continuously testing out additional new innovation unique to Aurora, such as Enhanced Binlog, zero-ETL, and Limitless Database. Aurora's ongoing investment in innovative technologies provides more opportunities for Tuya to expand its business. Additionally, based on Tuya's comprehensive IoT developer platform architecture, both parties have collaborated to enhance Tuya IoT applications performance indicators like stability, low latency, scalability, and security in the real-world application of databases, revealing more potential and possibilities and enabling the IoT. Tuya and AWS: Continuously promoting the evolution of cloud experience Data-driven approaches will usher in a new era of innovation in tandem with the swift advancement of data applications. At this year's re:Invent conference, Peter DeSantis, Senior Vice President of AWS, reviewed the relational database's development history in great detail. In 2014, AWS created Aurora based on log architecture. In 2018, the release of Aurora Serverless allowed for seamless scaling of database resources through virtualization technology. This year, AWS announced the launch of the Amazon Aurora Limitless Database, which automatically scales to millions of write transactions per second well beyond current limits of a single PostgreSQL instance. It is apparent from Amazon Aurora's development history that AWS has always been dedicated to innovation. Customers and partners from a range of industries actively utilizes AWS to enable rapid innovation in a variety of ways, while also working together to enhance the cloud experience. Similar to how Tuya and AWS work together, Tuya's effective and user-friendly IoT developer platform and rich and varied IoT solutions have built a significant lighthouse, embracing the Amazon Aurora's innovation and accelerated the process of building a more secure and reliable IoT database use case. Amazon Aurora VP Yan Leshinsky said, "Amazon Aurora is the fastest growing service in the history of AWS and is trusted by hundreds of thousands of customers. We innovate by working backwards from customers' needs, and we appreciate the feedback that Tuya has shared. We remain committed in developing new Aurora features and capabilities so all customers can accelerate their applications' capabilities and business growth by using Aurora." "Tuya has always committed to strengthening advanced and valuable innovations, while offering open and neutral ecosystem assistance for global partners. We provide our developers with enhanced operational and maintenance control, adaptable data storage options, superior product experience, and a global business layout by utilizing the Amazon Aurora database. We will continue to work with AWS to benefit the world in the future in areas including technology, ecosystems, and cloud computing, helping customers achieve commercial success." said Eva Na, Vice President of Marketing and Strategic Cooperation, and CMO of Tuya Smart. Enhancing the partnership with AWS, Tuya delivered IoT best practice using Amazon Aurora database, giving the industry's growth additional impetus. Tuya will maintain its open and neutral stance going forward, collaborating with cloud service providers like AWS to offer global developers a more secure, reliable, and productive cloud environment, thereby advancing the innovation and development of the entire industry.

Read More

Enterprise Iot

Nozomi Networks Delivers Industry's First Multi-Spectrum Wireless Security Sensor for Global OT and IoT Environments

Nozomi Networks | January 25, 2024

Nozomi Networks Inc., the leader in OT and IoT security, today introduced Guardian Air™, the industry's only wireless spectrum sensor purpose-built for OT and IoT environments worldwide. With 80 percent of new IoT deployments wirelessly connected, wireless is quickly becoming a preferred network. The explosion of wirelessly connected devices increases potential access points and exploitation of networks. This puts critical infrastructure at risk of cyberattacks and disruptions to operations. Guardian Air provides much-needed visibility into wirelessly enabled devices which until now were only detected once connected to the wired network. Guardian Air monitors several prominent wireless frequencies, not just Bluetooth and Wi-Fi, to provide security teams with immediate visibility of connected sensors, devices, laptops and cell phones. With the addition of Guardian Air, customers have a comprehensive network solution all in one integrated platform. "Nozomi Networks has once again innovated to address an unmet need for wireless-level monitoring in OT and IoT environments," said Danielle VanZandt, an industry manager for commercial and public security research at Frost & Sullivan. "From smart manufacturing to digital medicine, to building automation, to modern oil field production and more, today industrial organizations are relying on billions of wireless devices to speed production and time to market. Guardian Air gives IT security professionals and OT operators the visibility they need to get a firm handle on wireless risk management and response." With Guardian Air, IT security professionals and OT operators can: Continuously monitor prominent wireless frequency technologies used in OT and IoT environments including Bluetooth, Wi-Fi, cellular, LoRaWAN, Zigbee, GPS, drone RF protocols, WirelessHART and more, Immediately detect wirelessly connected assets and gain asset information to quickly address unauthorized installations, Detect wireless-specific threats, including brute force attacks, spoofing, and bluejacking – with the added ability to determine the location of the devices performing the attacks, Seamlessly integrate wireless data into a single OT & IoT security platform that unifies asset visibility from the endpoint and across wired and wireless networks. "Wireless is fundamentally changing the way industrial organizations operate. Unfortunately, it also massively expands the potential attack surface," said Nozomi Networks Co-founder and Chief Product Officer Andrea Carcano. "Guardian Air solves this problem by giving customers the accurate visibility they need at the wireless level to minimize risk while maximizing resiliency. Because Guardian Air integrates easily into the Nozomi Networks Vantage platform, customers can combine network, endpoint and wireless for the greatest visibility, threat detection and AI-powered analysis for real-time security management and remediation across the entire attack surface." The Nozomi Guardian Air wireless sensor will be available this spring from Nozomi Networks and its extensive global network of channel partners. About Nozomi Networks Nozomi Networks accelerates digital transformation by protecting the world's critical infrastructure, industrial and government organizations from cyber threats. Our solution delivers exceptional network and asset visibility, threat detection, and insights for OT and IoT environments. Customers rely on us to minimize risk and complexity while maximizing operational resilience. www.nozominetworks.com

Read More

IoT Security

AppViewX Digital Trust Platform Named IoT Security Product of the Year

AppViewX | January 12, 2024

AppViewX, the leader in automated machine identity management (MIM) and application infrastructure security, today announced the AppViewX Digital Trust Platform has been named IoT Security Product of the Year in the 8th annual IoT Breakthrough awards program, which showcases technologies and companies that drive innovation and exemplify the best in IoT technology solutions across the globe. IoT Breakthrough is a leading market intelligence organization that recognizes the top companies, technologies and products in the global IoT market. The mission of the IoT Breakthrough Awards program is to recognize the innovators, leaders and visionaries from around the globe in a range of IoT categories, including Industrial and Enterprise IoT, Smart City technology, Connected Home and Home Automation, Connected Car, and many more. This year's program attracted nominations from companies all over the world. “Unmanaged machine identities for IoT devices can create critical security vulnerabilities, but for most organizations discovering, maintaining visibility into and controlling them has become manually unfeasible,” said Gregory Webb, CEO of AppViewX. “The AppViewX Digital Trust Platform automates IoT identity management at scale across the largest, most complex and distributed customer environments, allowing customers to achieve significantly stronger security posture and meet compliance requirements.” All IoT Breakthrough Award nominations were evaluated by an independent panel of experts within the IoT industry, with the winning products and companies selected based on a variety of criteria, including most innovative and technologically advanced products and services. About AppViewX Digital Trust Platform Out of the box, AppViewX provides instant value to customers by discovering all certificates across complex enterprise environments, building and maintaining inventories, provisioning both private and public trust certificates from any CA, alerting to expiring certificates and fully automating renewals and revocation to eliminate outages and security weaknesses across machines, applications, services, and security infrastructure. About AppViewX AppViewX is trusted by the world’s leading organizations to reduce risk, ensure compliance, and increase visibility through automated machine identity management and application infrastructure security and orchestration. The AppViewX platform provides complete certificate lifecycle management and PKI-as-a-Service using streamlined workflows to prevent outages, reduce security incidents and enable crypto-agility. Fortune 1000 companies, including six of the top ten global commercial banks, five of the top ten global media companies, and five of the top ten managed healthcare providers rely on AppViewX to automate NetOps, SecOps, and DevOps. AppViewX is headquartered in New York with offices in the U.K., Australia and three development centers of excellence in India. For more information, visit https://www.appviewx.com and follow us on LinkedIn and Twitter.

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